Senior Manager, Data Science

About the role

You will lead the development of models and decision systems that improve how Honor matches caregivers and clients, constructs sustainable schedules, allocates capacity, prioritizes operational work, and responds to changing conditions. This is not an analytics support role. Your team will work directly with Product, Engineering, and Care Operations to turn difficult operating problems into production systems that improve measurable outcomes. You will contribute to Honor’s broader Data Science and Applied AI direction, help shape the team’s roadmap, and remain hands-on as a player-coach.

Responsibilities

• Help shape the Data Science and Applied AI roadmap, identifying where predictive modeling, optimization, experimentation, forecasting, causal inference, and modern AI can create the greatest impact.
• Lead the development of production models and decision-support systems that improve matching, scheduling, operational prioritization, and service reliability.
• Partner with Product, Engineering, and Operations from problem definition through deployment, adoption, and iteration.
• Establish strong standards for evaluating, monitoring, and responsibly deploying machine learning and AI-enabled systems.
• Lead, coach, and grow the team while remaining hands-on in high-priority projects as a player-coach.

Qualifications

• 7+ years of experience in data science, machine learning, operations research, applied AI, or a related field, including 3+ years leading teams.
• Have built or led the development of models or decision systems that operated in production and influenced meaningful business or customer outcomes.
• Can determine whether a problem calls for prediction, optimization, experimentation, simulation, workflow redesign, an AI agent, or no model at all.
• Understand that successful applied AI requires more than choosing a model. It requires clear objectives, reliable data and tools, rigorous evaluation, thoughtful system design, and appropriate human oversight.
• Experience partnering with Product, Engineering, Operations, and senior business stakeholders on ambiguous, cross-functional problems.
• Comfortable working with imperfect operational data while maintaining a high standard for measurement and technical rigor.
• Can communicate clearly with technical, operational, and executive audiences.
• Are willing to inspect the data, understand the workflow, prototype solutions, and revise your view.
• Are an effective people leader who can set clear expectations, develop talent, prioritize work, and build a strong technical culture.

Skills

• Experience with marketplace, logistics, workforce, scheduling, healthcare, or other complex operating systems is especially valuable, as is experience with optimization, forecasting, recommender systems, causal inference, agentic systems, or AI evaluation.
• A bachelor’s, master’s, or doctoral degree in a quantitative or technical field is welcome, but we care most about demonstrated ability, judgment, leadership, and impact.

Benefits

• Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match.
• We provide medical, dental and vision coverage including zero cost plans for employees.
• Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option.
• We offer a generous time off program, mental health benefits, wellness program, and discount program.

Pay

Hiring Salary Range $228,600—$254,000 USD At Honor, we use national average to determine pay as we are a remote first company. Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. Base pay is just a part of our total rewards program. Honor offers a comprehensive benefits package including a 401K with up to a 4% employer match.